Clean Stock Future Price Prediction


USD 8.17  0.10  1.21%   

Clean Energy Fuels stock price prediction is an act of determining the future value of Clean Energy shares using few different conventional methods such as EPS estimation, analyst consensus, or fundamental intrinsic valuation. The successful prediction of Clean Energy's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Clean Energy and does not consider all of the tangible or intangible factors available from Clean Energy's fundamental data. We analyze noise-free headlines and recent hype associated with Clean Energy Fuels, which may create opportunities for some arbitrage if properly timed.
Continue to Clean Energy Basic Forecasting Models to cross-verify your projections.
It is a matter of debate whether stock price prediction based on information in financial news can generate a strong buy or sell signal. We use our internally-built news screening methodology to estimate the value of Clean Energy based on different types of headlines from major news networks to social media. The Clean stock price prediction module provides an analysis of price elasticity to changes in media outlook on Clean Energy over a specific investment horizon.
Quarterly Earnings Growth YOY
EPS Estimate Next Quarter
EPS Estimate Current Year
EPS Estimate Next Year
Wall Street Target Price
EPS Estimate Current Quarter
Quarterly Revenue Growth YOY
Using Clean Energy hype-based prediction, you can estimate the value of Clean Energy Fuels from the perspective of Clean Energy response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Clean Energy using Clean Energy's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Clean using crowd psychology based on the activity and movement of Clean Energy's stock price.
Clean Energy PPandE Turnover is projected to slightly decrease based on the last few years of reporting. The past year's PPandE Turnover was at 0.93. The current year Receivables Turnover is expected to grow to 3.56, whereas Operating Margin is forecasted to decline to (38.16) .

Clean Energy Short Interest

A significant increase or decrease in Clean Energy's short interest from the previous month could be a good indicator of investor sentiment towards Clean. Short interest can provide insight into the potential direction of Clean Energy stock and how bullish or bearish investors feel about the market overall. An investor who is long Clean Energy may also wish to track short interest. As short interest increases, investors should be becoming more worried about Clean Energy and may potentially protect profits, hedge Clean Energy with its derivative instruments, or be ready for some potential downside.
200 Day MA
Short Percent
Short Ratio
Shares Short Prior Month
13.3 M
50 Day MA
Shares Short
15.1 M

Clean Energy Fuels Hype to Price Pattern

Investor biases related to Clean Energy's public news can be used to forecast risks associated with investment in Clean. The trend in average sentiment can be used to explain how an investor holding Clean can time the market purely based on public headlines and social activities around Clean Energy Fuels. Please note that most equiteis that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Clean Energy's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Clean Energy.

Clean Energy Implied Volatility

Clean Energy's implied volatility exposes the market's sentiment of Clean Energy Fuels stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Clean Energy's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Clean Energy stock will not fluctuate a lot when Clean Energy's options are near their expiration.
This module is based on analyzing investor sentiment around taking a position in Clean Energy. This speculative approach is based exclusively on the idea that markets are driven by emotions such as investor fear and greed. The fear of missing out, i.e., FOMO, can cause potential investors in Clean Energy to buy its stock at a price that has no basis in reality. In that case, they are not buying Clean because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.

Clean Energy after-hype prediction price

  $ 7.76  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.

Prediction based on Rule 16 of the current Clean contract

Based on the Rule 16, the options market is currently suggesting that Clean Energy Fuels will have an average daily up or down price movement of about 5.23% per day over the life of the 2022-08-19 option contract. With Clean Energy trading at $8.17, that is roughly $0.43. If you think that the market is fully incorporating Clean Energy's daily price movement you should consider acquiring Clean Energy Fuels options at the current volatility level of 83.75%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Clean Energy's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy. Please use the tools below to analyze the current value of Clean Energy in the context of predictive analytics.
LowReal ValueHigh
LowNext ValueHigh
4 Analysts
LowTarget PriceHigh
Estimates (2)
LowProjected EPSHigh
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Clean Energy. Your research has to be compared to or analyzed against Clean Energy's peers to derive any actionable benefits. When done correctly, Clean Energy's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Clean Energy Fuels.

Clean Energy After-Hype Price Prediction Density Analysis

As far as predicting the price of Clean Energy at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Clean Energy or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many smart people who confused the symmetrical distributions of stock prices, such as prices of Clean Energy, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Clean Energy Estimiated After-Hype Price Volatility

In the context of predicting Clean Energy's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Clean Energy's historical news coverage. Clean Energy's after-hype downside and upside margins for the prediction period are 2.42 and 13.10, respectively. We have considered Clean Energy's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value 8.17
After-hype Price
Clean Energy is slightly risky asset. Analysis and calculation of next after-hype price of Clean Energy Fuels is based on 3 months time horizon.

Clean Energy Stock Price Prediction Analysis

Have you ever been surprised when a price of a company such as Clean Energy is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Clean Energy backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Clean Energy, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
 0.99  5.34   0.41    0.75  6 Events / Month7 Events / MonthIn about 6 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility

Clean Energy Hype Timeline

Clean Energy Fuels is currently traded for 8.17. The entity has historical hype elasticity of -0.41 and average elasticity to hype of competition of -0.75. Clean is estimated to decline in value after the next headline with price expected to drop to 7.76. The average volatility ofmedia hypeimpact on the company stock price is over 100%. The price decrease on the next newsis expected to be -5.02% whereas the daily expected return is currently at 0.99%. The volatility of related hype on Clean Energy is about 708.85% with expected price after next announcement by competition of 7.42. About 21.0% of the company shares are held by company insiders. The book value of Clean Energy was currently reported as 3.25. The company recorded a loss per share of 0.5. Clean Energy Fuels had not issued any dividends in recent years. Given the investment horizon of 90 days the next estimatedpress releasewill be in about 6 days.
Continue to Clean Energy Basic Forecasting Models to cross-verify your projections.

Clean Energy Related Hype Analysis

Having access to credible news sources related to Clean Energy's direct competition is more important than ever and may enhance your ability to predict Clean Energy's future price movements. Getting to know how Clean Energy rivals react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Clean Energy may potentially react to the hype associated with one of its peers.
At Risk
AEAdams Resources Energy(0.55) 6 per month 0.00 (0.0318)  6.04 (4.03)  13.15 
AMTXAemetis(0.58) 6 per month 5.65  0.09  11.70 (9.34)  33.30 
CAPLCrossAmerica Partners LP(0.34) 3 per month 2.01  0.0328  3.21 (3.41)  9.78 
CVICvr Energy(4.16) 6 per month 3.92  0.06  7.13 (6.75)  16.98 
DKDelek US Holdings 0.01 7 per month 4.09  0.05  5.94 (7.87)  20.82 
IEPIcahn Enterprises 0.15 7 per month 1.08  0.0312  1.56 (1.92)  4.14 
IRBTIrobot Corp(0.03) 5 per month 3.40  0.08  6.53 (5.22)  19.17 
BABoeing Company(1.23) 10 per month 2.52  0.10  6.45 (4.95)  16.31 
WFCWells Fargo(0.05) 5 per month 1.93  0.0227  4.16 (3.66)  11.21 

Clean Energy Additional Predictive Modules

Most predictive techniques to examine Clean price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Clean using various technical indicators. When you analyze Clean charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

About Clean Energy Predictive Indicators

The successful prediction of Clean Energy stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Clean Energy Fuels, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Clean Energy based on analysis of Clean Energy hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Clean Energy's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Clean Energy's related companies.
 2019 2021 2022 (projected)
Long Term Debt to Equity0.06670.03430.0352
Interest Coverage1.731.561.26

Story Coverage note for Clean Energy

The number of cover stories for Clean Energy depends on current market conditions and Clean Energy's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Clean Energy is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Clean Energy's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Clean Energy Short Properties

Clean Energy's future price predictability will typically decrease when Clean Energy's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Clean Energy Fuels often depends not only on the future outlook of the potential Clean Energy's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Clean Energy's indicators that are reflective of the short sentiment are summarized in the table below.
Shares Percent Shares Out5.96%
Short Percent Of Float7.89%
Float Shares175.44M
Average Daily Volume Last 10 Day3.78M
Shares Short Prior Month12.98M
Average Daily Volume In Three Month3.8M
Date Short Interest15th of July 2022
Continue to Clean Energy Basic Forecasting Models to cross-verify your projections. Note that the Clean Energy Fuels information on this page should be used as a complementary analysis to other Clean Energy's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Volatility Analysis module to get historical volatility and risk analysis based on latest market data.

Complementary Tools for Clean Stock analysis

When running Clean Energy Fuels price analysis, check to measure Clean Energy's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Clean Energy is operating at the current time. Most of Clean Energy's value examination focuses on studying past and present price action to predict the probability of Clean Energy's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Clean Energy's price. Additionally, you may evaluate how the addition of Clean Energy to your portfolios can decrease your overall portfolio volatility.
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Is Clean Energy's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Clean Energy. If investors know Clean will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Clean Energy listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth YOY
Market Capitalization
1.8 B
Quarterly Revenue Growth YOY
Return On Assets
Return On Equity
The market value of Clean Energy Fuels is measured differently than its book value, which is the value of Clean that is recorded on the company's balance sheet. Investors also form their own opinion of Clean Energy's value that differs from its market value or its book value, called intrinsic value, which is Clean Energy's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Clean Energy's market value can be influenced by many factors that don't directly affect Clean Energy's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Clean Energy's value and its price as these two are different measures arrived at by different means. Investors typically determine Clean Energy value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Clean Energy's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.